Supercritical Emulsion Extraction technology (SEE-C) was proposed for the production of poly-lactic-co-glycolic acid microcarriers. SEE-C operating parameters as pressure, temperature and flow rate ratios were analyzed and the process performance was optimized in terms of size distribution and encapsulation efficiency. Microdevices loaded with bovine serum insulin were produced with different sizes (2 and 3 µm) or insulin charges (3 and 6 mg/g) and with an encapsulation efficiency of 60%. The microcarriers were characterized in terms of insulin release profile in two different media (PBS and DMEM) and the diffusion and degradation constants were also estimated by using a mathematical model. PLGA microdevices were also used in a cultivation of embryonic ventricular myoblasts (cell line H9c2 obtained from rat) in a FBS serum free medium to monitor cell viability and growth in dependence of insulin released. Good cell viability and growth were observed on 3 µm microdevices loaded with 3 mg/g of insulin. PLGA microspheres loaded with growth factors (GFs) were charged into alginate scaffold with human Mesenchimal Steam Cells (hMSC) for bone tissue engineering with the aim of monitoring the effect of the local release of these signals on cells differentiation. These “living” 3D scaffolds were incubated in a direct perfusion tubular bioreactor to enhance nutrient transport and exposing the cells to a given shear stress. Different GFs such as, h-VEGF, h-BMP2 and a mix of two (ratio 1:1) were loaded and alginate beads were recovered from dynamic (tubular perfusion system bioreactor) and static culture at different time points (1st, 7th, 21st days) for the analytical assays such as, live/dead; alkaline phosphatase; osteocalcin; osteopontin and Van Kossa Immunoassay. The immunoassay confirmed always a better cells differentiation in the bioreactor with respect to the static culture and revealed a great influence of the BMP-2 released in the scaffold on cell differentiation.

La presente tesi di dottorato ha come argomento la produzione d’idrogeno per via fermentativa sfruttando il metabolismo anaerobico di particolari batteri estremofili del genere Thermotoga. In questo lavoro, svolto in seno al progetto Bio-Hydro, sfruttando reattori batch da 116 mL, è stato selezionato il ceppo migliore di Thermotoga fra i quatto ceppi testati: T. neapolitana. Una volta individuato il candidato batterico migliore è stato individuato il valore ottimale di pH (8.5 a t.amb) per la produzione d’idrogeno. Un intenso lavoro è stato svolto sul medium di coltura permettendone la minimizzazione e rendendolo così economicamente sostenibile per il suo utilizzo nel reattore da 19L; in questo caso il glucosio è stato completamente sostituito con due sottoprodotti agroindustriali individuati in precedenza, il melasso di barbabietola e il siero di latte. Sono stati poi eliminati i gravosi micronutrienti e le vitamine. È stata sfruttata la capacità di T. neapolitana di produrre biofilm e sono stati testati 4 diversi supporti in vetro sinterizzato e ceramici, tali test hanno permesso di individuare Biomax come supporto migliore. Sono stati svolti studi sul metabolismo di T. neapolitana volti ad individuare le concentrazioni inibenti di ogni substrato testato, l’inibizione da prodotto (idrogeno) e l’inibizione da ossigeno. Tutte queste prove hanno dato le conoscenze di base per la conduzione di esperienze su reattore da 19L. L’innovativo reattore di tipo SPCSTR è stato interamente studiato, progettato e costruito presso il DICMA. dell’Università di Bologna. La conduzione di esperienze batch su SPCSTR ha dato la possibilità di verificare il funzionamento del nuovo tipo d’impianto. Presso il Wageningen UR (NL), è stata svolta la selezione del miglior ceppo di Caldicellulosisruptor fra 3 testati e del miglior supporto per la produzione d’idrogeno; è stato poi costruito testato e condotto in continuo l’innovativo reattore CMTB. / This PhD thesis has its subject in the production of bio-hydrogen by dark-fermentation, basing on an anaerobic metabolism of a particular extremophile bacteria of the genus Thermotoga. In this work, carried out within the project Bio-Hydro, using 116mL flasks, the best strain T. neapolitana was selected among four strains tested:. Once the bacterial best candidate has been identified, the optimal value of pH (8.5 at room temperature) for the production of hydrogen has been found. An intense work has been done on the culture medium allowing its minimization making it cost effective for its use in the 19L reactor. In this case glucose was completely replaced with two agro-industrial by-products, the sugar beet molasses and the milk whey. Then micronutrients and vitamins were eliminated. It has been exploited the ability of T. neapolitana to produce biofilm: four different supports were tested. Such tests have allowed to identify Biomax as the best support. Studies have been made on the metabolism of T. neapolitana aimed to identify the inhibitory concentrations of each substrate tested. Also the inhibition by hydrogen and oxygen were investigated. All these tests have given the basic knowledge for the experiments on the 19L reactor. The innovative reactor SPCSTR was entirely designed, developed and built at DICMA: University of Bologna. Batch experiments conducted in SPCSTR gave the opportunity to test this new kind of reactor. At the UR Wageningen (NL), the selection of the best strain among three Caldicellulosisruptor tested was carried out and the best support for the hydrogen production was selected. An innovative reactor CMTB was constructed and tested and continuous experiment was done.

In the present work, a multi physics simulation of an innovative safety system for light water nuclear reactor is performed, with the aim to increase the reliability of its main decay heat removal system. The system studied, denoted by the acronym PERSEO (in Pool Energy Removal System for Emergency Operation) is able to remove the decay power from the primary side of the light water nuclear reactor through a heat suppression pool. The experimental facility, located at SIET laboratories (PIACENZA), is an evolution of the Thermal Valve concept where the triggering valve is installed liquid side, on a line connecting two pools at the bottom. During the normal operation, the valve is closed, while in emergency conditions it opens, the heat exchanger is flooded with consequent heat transfer from the primary side to the pool side. In order to verify the correct system behavior during long term accidental transient, two main experimental PERSEO tests are analyzed. For this purpose, a coupling between the mono dimensional system code CATHARE, which reproduces the system scale behavior, with a three-dimensional CFD code NEPTUNE CFD, allowing a full investigation of the pools and the injector, is implemented. The coupling between the two codes is realized through the boundary conditions. In a first analysis, the facility is simulated by the system code CATHARE V2.5 to validate the results with the experimental data. The comparison of the numerical results obtained shows a different void distribution during the boiling conditions inside the heat suppression pool for the two cases of single nodalization and three volume nodalization scheme of the pool. Finaly, to improve the investigation capability of the void distribution inside the pool and the temperature stratification phenomena below the injector, a two and three dimensional CFD models with a simplified geometry of the system are adopted.

This work describes hydrogen production by anaerobic digestion of glucose, molasses and milk whey by 4 thermophilic Thermotoga strains. In the attached-cell tests, the biofilm support characterized by the highest specific surface resulted in the best H2 rate. All the Thermotoga strains examined (T. neapolitana, T. maritima, T. naphtophila, T. petrophila) could produce H2 from glucose, molasses and milk whey, both in suspended- and attached-cell tests. With all the three substrates, the best performances were obtained with T. neapolitana. Some tests were conducted out to select the optimal carrier for the attached-cell conditions. 4 types of carrier were tested: 3 sintered glass carriers and a ceramic one; the chosen carrier was Biomax. / Questo lavoro descrive la produzione di idrogeno per digestione anaerobica di siero di latte, glucosio e melasso utilizzando 4 ceppi Thermotoga termofili. Tutte i 4 ceppi di Thermotoga testati (T. neapolitana, T. maritima, T. naphtophila, T. petrophila) sono stati in grado di produrre H2 dal siero di latte, glucosio e melasso, sia in prove con biomassa sospese che adesa. Con tutti i tre substrati, le migliori prestazioni sono state ottenute con T. neapolitana. Sono state condotte alcuni test per selezionare il supporto ottimale per le condizioni con biomassa adesa. Sono stati testati 4 tipi di supporti, 3 in vetro sinterizzato e uno in materiale ceramico; il supporto scelto è stato Biomax.

The determination of skeletal loading conditions in vivo and their relationship to the health of bone tissues, remain an open question. Computational modeling of the musculoskeletal system is the only practicable method providing a valuable approach to muscle and joint loading analyses, although crucial shortcomings limit the translation process of computational methods into the orthopedic and neurological practice. A growing attention focused on subject-specific modeling, particularly when pathological musculoskeletal conditions need to be studied. Nevertheless, subject-specific data cannot be always collected in the research and clinical practice, and there is a lack of efficient methods and frameworks for building models and incorporating them in simulations of motion. The overall aim of the present PhD thesis was to introduce improvements to the state-of-the-art musculoskeletal modeling for the prediction of physiological muscle and joint loads during motion. A threefold goal was articulated as follows: (i) develop state-of-the art subject-specific models and analyze skeletal load predictions; (ii) analyze the sensitivity of model predictions to relevant musculotendon model parameters and kinematic uncertainties; (iii) design an efficient software framework simplifying the effort-intensive phases of subject-specific modeling pre-processing. The first goal underlined the relevance of subject-specific musculoskeletal modeling to determine physiological skeletal loads during gait, corroborating the choice of full subject-specific modeling for the analyses of pathological conditions. The second goal characterized the sensitivity of skeletal load predictions to major musculotendon parameters and kinematic uncertainties, and robust probabilistic methods were applied for methodological and clinical purposes. The last goal created an efficient software framework for subject-specific modeling and simulation, which is practical, user friendly and effort effective. Future research development aims at the implementation of more accurate models describing lower-limb joint mechanics and musculotendon paths, and the assessment of an overall scenario of the crucial model parameters affecting the skeletal load predictions through probabilistic modeling.

A control-oriented model of a Dual Clutch Transmission was developed for real-time Hardware In the Loop (HIL) applications, to support model-based development of the DCT controller. The model is an innovative attempt to reproduce the fast dynamics of the actuation system while maintaining a step size large enough for real-time applications. The model comprehends a detailed physical description of hydraulic circuit, clutches, synchronizers and gears, and simplified vehicle and internal combustion engine sub-models. As the oil circulating in the system has a large bulk modulus, the pressure dynamics are very fast, possibly causing instability in a real-time simulation; the same challenge involves the servo valves dynamics, due to the very small masses of the moving elements. Therefore, the hydraulic circuit model has been modified and simplified without losing physical validity, in order to adapt it to the real-time simulation requirements. The results of offline simulations have been compared to on-board measurements to verify the validity of the developed model, that was then implemented in a HIL system and connected to the TCU (Transmission Control Unit). Several tests have been performed: electrical failure tests on sensors and actuators, hydraulic and mechanical failure tests on hydraulic valves, clutches and synchronizers, and application tests comprehending all the main features of the control performed by the TCU. Being based on physical laws, in every condition the model simulates a plausible reaction of the system. The first intensive use of the HIL application led to the validation of the new safety strategies implemented inside the TCU software. A test automation procedure has been developed to permit the execution of a pattern of tests without the interaction of the user; fully repeatable tests can be performed for non-regression verification, allowing the testing of new software releases in fully automatic mode. / Un modello orientato al controllo di una trasmissione a doppia frizione (DCT) è stato sviluppato per applicazioni real-time Hardware In the Loop (HIL) come supporto allo sviluppo model-based della centralina elettronica di controllo (TCU, Transmission Control Unit). Il modello è un tentativo innovativo di riprodurre le dinamiche del sistema di attuazione, molto veloci, mantenendo un passo di simulazione sufficientemente grande per applicazioni real-time. Il modello comprende una descrizione dettagliata del circuito idraulico, delle frizioni, dei sincronizzatori e delle marce, e un modello semplificato del veicolo e del motore. Poiché l’olio che circola nel sistema ha un modulo di comprimibilità molto elevato, le dinamiche di pressione sono molto veloci, causando instabilità durante una simulazione real-time; lo stesso problema riguarda la dinamica delle servo valvole, a causa delle piccole masse degli elementi in movimento. Perciò, il modello è stato modificato e semplificato senza perdere validità fisica, per adattarlo alla necessità di una simulazione real-time. I risultati di simulazioni offline sono stati confrontati con misure effettuate in vettura per verificare la validità del modello sviluppato, che è stato poi implementato all’interno di un sistema HIL e connesso alla TCU. Una serie di test è stata eseguita al simulatore: test riguardanti guasti elettrici su sensori ed attuatori, guasti idraulici e meccanici su valvole, frizioni e sincronizzatori, e test applicativi comprendenti tutte le principali funzionalità del controllo. Essendo basato su leggi fisiche, il modello simula una reazione plausibile del sistema in ogni condizione. Il primo uso intensivo del simulatore ha portato alla validazione delle nuove strategie di safety implementate in TCU. Una procedura di automatizzazione dei test è stata sviluppata per permettere l’esecuzione di un pattern di test senza l’interazione dell’utente; test completamente ripetibili possono essere eseguiti per verifiche di non regressione, permettendo di testare nuove release software in modo completamente automatico.

DI Diesel engine are widely used both for industrial and automotive applications due to their durability and fuel economy. Nonetheless, increasing environmental concerns force that type of engine to comply with increasingly demanding emission limits, so that, it has become mandatory to develop a robust design methodology of the DI Diesel combustion system focused on reduction of soot and NOx simultaneously while maintaining a reasonable fuel economy. In recent years, genetic algorithms and CFD three-dimensional combustion simulations have been successfully applied to that kind of problem. However, combining GAs optimization with actual CFD three-dimensional combustion simulations can be too onerous since a large number of calculations is usually needed for the genetic algorithm to converge, resulting in a high computational cost and, thus, limiting the suitability of this method for industrial processes. In order to make the optimization process less time-consuming, CFD simulations can be more conveniently used to generate a training set for the learning process of an artificial neural network which, once correctly trained, can be used to forecast the engine outputs as a function of the design parameters during a GA optimization performing a so-called virtual optimization. In the current work, a numerical methodology for the multi-objective virtual optimization of the combustion of an automotive DI Diesel engine, which relies on artificial neural networks and genetic algorithms, was developed.

I moderni motori a combustione interna diventano sempre più complessi L'introduzione della normativa antinquinamento EURO VI richiederà una significativa riduzione degli inquinanti allo scarico. La maggiore criticità è rappresentata dalla riduzione degli NOx per i motori Diesel da aggiungersi a quelle già in vigore con le precedenti normative. Tipicamente la messa a punto di una nuova motorizzazione prevede una serie di test specifici al banco prova. Il numero sempre maggiore di parametri di controllo della combustione, sorti come conseguenza della maggior complessità meccanica del motore stesso, causa un aumento esponenziale delle prove da eseguire per caratterizzare l'intero sistema. L'obiettivo di questo progetto di dottorato è quello di realizzare un sistema di analisi della combustione in tempo reale in cui siano implementati diversi algoritmi non ancora presenti nelle centraline moderne. Tutto questo facendo particolare attenzione alla scelta dell'hardware su cui implementare gli algoritmi di analisi. Creando una piattaforma di Rapid Control Prototyping (RCP) che sfrutti la maggior parte dei sensori presenti in vettura di serie; che sia in grado di abbreviare i tempi e i costi della sperimentazione sui motopropulsori, riducendo la necessità di effettuare analisi a posteriori, su dati precedentemente acquisiti, a fronte di una maggior quantità di calcoli effettuati in tempo reale. La soluzione proposta garantisce l'aggiornabilità, la possibilità di mantenere al massimo livello tecnologico la piattaforma di calcolo, allontanandone l'obsolescenza e i costi di sostituzione. Questa proprietà si traduce nella necessità di mantenere la compatibilità tra hardware e software di generazioni differenti, rendendo possibile la sostituzione di quei componenti che limitano le prestazioni senza riprogettare il software. / Modern Internal Combustion Engines are becoming increasingly complex. The introduction of the EURO VI emission control legislation will require a significant reduction of polluting exhaust. The most critical is the reduction of NOx for diesel engines to be added to those already in force with the last legislation. The development of a new engine includes a series of specific tests on the test bench. The growing number of control parameters of the combustion, have a rise as a consequence of the greater mechanical complexity of the engine itself, causes an exponential increase of the tests to be performed to characterize the entire system. The PhD project is to development on board system analysis of combustion in real time where different algorithms, not yet available in modern control units, are implemented. All this with particular attention to the choice of hardware on which to implement the algorithms of analysis. Creating a platform for Rapid Control Prototyping (RCP) that exploits: most of the sensors in series production car, which is able to reduce the time and cost of experimentation on the powertrain. The proposed solution ensures upgradeability, the ability to maintain a maximum level of technology the computing platform, reduced obsolescence and replacement costs. This property results in the need to maintain the compatibility between different generations of hardware and software, making possible the replacement of those components that limit the performance without redesigning the software.

Theoretical models are developed for the continuous-wave and pulsed laser incision and cut of thin single and multi-layer films. A one-dimensional steady-state model establishes the theoretical foundations of the problem by combining a power-balance integral with heat flow in the direction of laser motion. In this approach, classical modelling methods for laser processing are extended by introducing multi-layer optical absorption and thermal properties. The calculation domain is consequently divided in correspondence with the progressive removal of individual layers. A second, time-domain numerical model for the short-pulse laser ablation of metals accounts for changes in optical and thermal properties during a single laser pulse. With sufficient fluence, the target surface is heated towards its critical temperature and homogeneous boiling or "phase explosion" takes place. Improvements are seen over previous works with the more accurate calculation of optical absorption and shielding of the incident beam by the ablation products. A third, general time-domain numerical laser processing model combines ablation depth and energy absorption data from the short-pulse model with two-dimensional heat flow in an arbitrary multi-layer structure. Layer removal is the result of both progressive short-pulse ablation and classical vaporisation due to long-term heating of the sample. At low velocity, pulsed laser exposure of multi-layer films comprising aluminium-plastic and aluminium-paper are found to be characterised by short-pulse ablation of the metallic layer and vaporisation or degradation of the others due to thermal conduction from the former. At high velocity, all layers of the two films are ultimately removed by vaporisation or degradation as the average beam power is increased to achieve a complete cut. The transition velocity between the two characteristic removal types is shown to be a function of the pulse repetition rate. An experimental investigation validates the simulation results and provides new laser processing data for some typical packaging materials.

The dynamics of a passive back-to-back test rig have been characterised, leading to a multi-coordinate approach for the analysis of arbitrary test configurations. Universal joints have been introduced into a typical pre-loaded back-to-back system in order to produce an oscillating torsional moment in a test specimen. Two different arrangements have been investigated using a frequency-based sub-structuring approach: the receptance method. A numerical model has been developed in accordance with this theory, allowing interconnection of systems with two-coordinates and closed multi-loop schemes. The model calculates the receptance functions and modal and deflected shapes of a general system. Closed form expressions of the following individual elements have been developed: a servomotor, damped continuous shaft and a universal joint. Numerical results for specific cases have been compared with published data in literature and experimental measurements undertaken in the present work. Due to the complexity of the universal joint and its oscillating dynamic effects, a more detailed analysis of this component has been developed. Two models have been presented. The first represents the joint as two inertias connected by a massless cross-piece. The second, derived by the dynamic analysis of a spherical four-link mechanism, considers the contribution of the floating element and its gyroscopic effects. An investigation into non-linear behaviour has led to a time domain model that utilises the Runge-Kutta fourth order method for resolution of the dynamic equations. It has been demonstrated that the torsional receptances of a universal joint, derived using the simple model, result in representation of the joint as an equivalent variable inertia. In order to verify the model, a test rig has been built and experimental validation undertaken. The variable inertia of a universal joint has lead to a novel application of the component as a passive device for the balancing of inertia variations in slider-crank mechanisms.